class_docstr: This class defines the simple segmentation head with merely a classification layer. This is useful for performing
  linear probling on segmentation task.
  Args:
      opts: command-line arguments
      enc_conf (Dict): Encoder input-output configuration at each spatial level
      use_l5_exp (Optional[bool]): Use features from expansion layer in Level5 in the encoder
code: def add_arguments(
      cls, parser: argparse.ArgumentParser
  ) -> argparse.ArgumentParser:
      return parser
  
file_path: ml-cvnets/cvnets/models/segmentation/heads/simple_seg_head.py
imports: import argparse
  from typing import Dict, Optional
  from torch import Tensor
  from cvnets.layers import ConvLayer2d
  from cvnets.models import MODEL_REGISTRY
  from cvnets.models.segmentation.heads.base_seg_head import BaseSegHead
label_desc: Use image node_id 2 for calling the SimpleSegHead obj's underlying member method code with example usage: obj.add_arguments(cls, parser) and returns: parser